Thomas Carr

Graduate Research Assistant @University of North Carolina at Charlotte

Charlotte, NC, US

Privacy-Preserving AI Algorithms: Spearheaded groundbreaking research projects focusing on privacy-preserving algorithms for skeleton-based motion data in virtual reality (VR) applications, achieving significant advances in user anonymity without compromising data utility- Research Publications & Ethics Collaboration: Published and presented research findings in high-impact AI and machine learning conferences; collaborated with cross-disciplinary teams to tackle challenges in ethical AI, user privacy, re-identification prevention, and AI accountability- Model Development & Fairness Optimization: Led the development of novel machine learning models using deep learning techniques and bias-mitigation strategies, which promoted algorithmic fairness and reduced bias in decision-making systems—improving classification accuracy by 15% in controlled trials- Mentorship in Data Science and Machine Learning: Actively mentored junior researchers, guiding them in conducting literature reviews, data analysis, model training, and evaluation; fostered a collaborative research environment that encouraged innovation and technical growth.

University of North Carolina at Charlotte

Doctor of Philosophy - PhD, Computing and Information Systems

University of North Carolina at Charlotte

Bachelor of Science - BS, Computer Science

University of North Carolina at Charlotte

Master of Science - MS, Computer Science